{"id":"https://openalex.org/W4401829333","doi":"https://doi.org/10.1016/j.vrih.2023.06.005","title":"S2ANet: Combining local spectral and spatial point grouping for point cloud processing","display_name":"S2ANet: Combining local spectral and spatial point grouping for point cloud processing","publication_year":2024,"publication_date":"2024-08-01","ids":{"openalex":"https://openalex.org/W4401829333","doi":"https://doi.org/10.1016/j.vrih.2023.06.005"},"language":"en","primary_location":{"id":"doi:10.1016/j.vrih.2023.06.005","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.vrih.2023.06.005","pdf_url":null,"source":{"id":"https://openalex.org/S4210224695","display_name":"Virtual Reality & Intelligent Hardware","issn_l":"2096-5796","issn":["2096-5796","2666-1209"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Virtual Reality &amp; Intelligent Hardware","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.vrih.2023.06.005","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100454944","display_name":"Yujie Liu","orcid":"https://orcid.org/0000-0002-0751-6857"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yujie LIU","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111299614","display_name":"Xiaorui SUN","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaorui SUN","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114212854","display_name":"Wenbin SHAO","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wenbin SHAO","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Yafu YUAN","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yafu YUAN","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.5929,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.9923475,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"6","issue":"4","first_page":"267","last_page":"279"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9954000115394592,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.7246834635734558},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.6801803112030029},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5560544729232788},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4521494209766388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3000783920288086},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21936365962028503},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09141865372657776}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7246834635734558},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6801803112030029},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5560544729232788},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4521494209766388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3000783920288086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21936365962028503},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09141865372657776},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.vrih.2023.06.005","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.vrih.2023.06.005","pdf_url":null,"source":{"id":"https://openalex.org/S4210224695","display_name":"Virtual Reality & Intelligent Hardware","issn_l":"2096-5796","issn":["2096-5796","2666-1209"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Virtual Reality &amp; Intelligent Hardware","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d43a54fe7a964e39a0ff41997635c790","is_oa":true,"landing_page_url":"https://doaj.org/article/d43a54fe7a964e39a0ff41997635c790","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Virtual Reality & Intelligent Hardware, Vol 6, Iss 4, Pp 267-279 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.vrih.2023.06.005","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.vrih.2023.06.005","pdf_url":null,"source":{"id":"https://openalex.org/S4210224695","display_name":"Virtual Reality & Intelligent Hardware","issn_l":"2096-5796","issn":["2096-5796","2666-1209"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Virtual Reality &amp; Intelligent Hardware","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4099999964237213,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1662382123","https://openalex.org/W1698699930","https://openalex.org/W2240216245","https://openalex.org/W2394951287","https://openalex.org/W2553307952","https://openalex.org/W2912083425","https://openalex.org/W2912269676","https://openalex.org/W2913550731","https://openalex.org/W2949778521","https://openalex.org/W2963123724","https://openalex.org/W2964113829","https://openalex.org/W2979750740","https://openalex.org/W2998719065","https://openalex.org/W3111535274","https://openalex.org/W3153465022","https://openalex.org/W3174510152","https://openalex.org/W4211225923","https://openalex.org/W4245551996","https://openalex.org/W4249009392","https://openalex.org/W4255556797","https://openalex.org/W4286696412","https://openalex.org/W4297683907","https://openalex.org/W4301045096","https://openalex.org/W4390874170","https://openalex.org/W6630044934","https://openalex.org/W6640300118","https://openalex.org/W6685350579","https://openalex.org/W6712520605","https://openalex.org/W6713582119","https://openalex.org/W6718544293","https://openalex.org/W6720006811","https://openalex.org/W6730037158","https://openalex.org/W6736644952","https://openalex.org/W6739778489","https://openalex.org/W6746181073","https://openalex.org/W6748789066","https://openalex.org/W6750189863","https://openalex.org/W6751916927","https://openalex.org/W6756639113","https://openalex.org/W6760401348","https://openalex.org/W6760644243","https://openalex.org/W6761129848","https://openalex.org/W6761959723","https://openalex.org/W6761987832","https://openalex.org/W6765629357","https://openalex.org/W6766900334","https://openalex.org/W6766906416","https://openalex.org/W6767612108","https://openalex.org/W6770461684","https://openalex.org/W6770688588","https://openalex.org/W6774036020","https://openalex.org/W6794276611"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727"],"abstract_inverted_index":{"Despite":[0],"the":[1,14,30,34,66,70,74,80,95,98,102,108,112,117,142,159,163,178],"recent":[2],"progress":[3],"in":[4,33,73,111,125],"3D":[5],"point":[6,60,71,127,183],"cloud":[7,61,72,128],"processing":[8],"using":[9],"deep":[10],"convolutional":[11,48],"neural":[12],"networks,":[13],"inability":[15],"to":[16,83,93,115],"extract":[17,94,107],"local":[18,67,81,103,109,179],"features":[19,58,96,110],"remains":[20],"a":[21,43,88],"challenging":[22],"problem.":[23],"In":[24,38],"addition,":[25],"existing":[26],"methods":[27],"consider":[28],"only":[29],"spatial":[31,46,57,113],"domain":[32,114],"feature":[35],"extraction":[36],"process.":[37],"this":[39],"paper,":[40],"we":[41,64,78],"propose":[42],"spectral":[44,55,75,89],"and":[45,56,86,139,145,154,162],"aggregation":[47,90],"network":[49],"(S":[50],"2":[51,121,173],"ANet),":[52],"which":[53],"combines":[54],"for":[59],"processing.":[62],"First,":[63],"calculate":[65],"frequency":[68,82],"of":[69,97,136,182],"domain.":[76],"Then,":[77],"use":[79],"group":[84],"points":[85,99],"provide":[87],"convolution":[91],"module":[92],"grouped":[100],"by":[101],"frequency.":[104],"We":[105],"simultaneously":[106],"supplement":[116],"final":[118],"features.":[119],"S":[120,172],"ANet":[122,174],"was":[123,168],"applied":[124],"several":[126],"analysis":[129],"tasks;":[130],"it":[131],"achieved":[132],"state-of-the-art":[133],"classification":[134],"accuracies":[135],"93.8%,":[137],"88.0%,":[138],"83.1%":[140],"on":[141,158,188],"ModelNet40,":[143],"ShapeNetCore,":[144],"ScanObjectNN":[146],"datasets,":[147],"respectively.":[148],"For":[149],"indoor":[150],"scene":[151],"segmentation,":[152],"training":[153],"testing":[155],"were":[156],"performed":[157],"S3DIS":[160],"dataset,":[161],"mean":[164],"intersection":[165],"over":[166],"union":[167],"62.4%.":[169],"The":[170],"proposed":[171],"can":[175],"effectively":[176],"capture":[177],"geometric":[180],"information":[181],"clouds,":[184],"thereby":[185],"improving":[186],"accuracy":[187],"various":[189],"tasks.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":14},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
